DocumentCode
1360974
Title
A methodology for probabilistic simultaneous transfer capability analysis
Author
Xia, Feng ; MelioPoulos, A. P Sakis
Author_Institution
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
Volume
11
Issue
3
fYear
1996
fDate
8/1/1996 12:00:00 AM
Firstpage
1269
Lastpage
1278
Abstract
This paper presents a methodology for simultaneous transfer capability analysis based on a probabilistic approach. All areas in a large scale power system are divided into three groups: (a) study area, (b) transfer participating areas, and (c) external areas which have no direct transactions or they have fixed transactions with the study area. A performance index based contingency selection procedure is applied within the study and transfer participating areas to rank those contingencies which will affect simultaneous transfer capability. The contingency ranking order is utilized by a variation of the Wind Chime diagram to selected contingencies which are then evaluated by an optimal power flow algorithm. Subsequently, the probability distribution of simultaneous transfer capability is computed based on the electric load, circuit and unit outage Markov models. The 24×3 bus IEEE RTS is utilized to evaluate the proposed method. The performance of the proposed method is also demonstrated on an actual large scale system (2182 bus, 8 area system)
Keywords
Markov processes; load flow; performance index; power system interconnection; power transmission; probability; Wind Chime diagram; contingency selection procedure; electric load; optimal power flow algorithm; performance index; probabilistic approach; simultaneous transfer capability; unit outage Markov models; Integrated circuit interconnections; Large-scale systems; Load flow; Power engineering and energy; Power system analysis computing; Power system interconnection; Power system modeling; Power system reliability; Power system security; Probability distribution;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/59.535667
Filename
535667
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